Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-4854
Publication type: | Article in scientific journal |
Type of review: | Peer review (publication) |
Title: | Data on roasted coffee with specific defects analyzed by infrared-photoacoustic spectroscopy and chemometrics |
Authors: | Dias, Rafael Carlos Eloy Valderrama, Patrícia Março, Paulo Henrique Dos Santos Scholz, Maria Brigida Edelmann, Michael Yeretzian, Chahan |
DOI: | 10.21256/zhaw-4854 10.1016/j.dib.2018.08.013 |
Published in: | Data in Brief |
Volume(Issue): | 2018 |
Issue: | 20 |
Page(s): | 242 |
Pages to: | 249 |
Issue Date: | 2018 |
Publisher / Ed. Institution: | Elsevier |
ISSN: | 2352-3409 |
Language: | English |
Subjects: | Infrared spectroscopy; Roasted ground coffee; Photoacoustic spectroscopy; Defects |
Subject (DDC): | 663: Beverage technology |
Abstract: | This article contains data related to the research article entitled "Quantitative assessment of specific defects in roasted ground coffee via infrared-photoacoustic spectroscopy" (Dias et al., 2018). A method potentially able for assessing the quality of roasted ground coffees is described in the origin paper. Infrared spectroscopy and photoacoustic detection (FTIR-PAS) associated with multivariate calibration were used. The samples were obtained blending whole and healthy coffee beans (C. arabica and C. canephora) with specific blends of defects, named selections, which contain broken, sour, and black beans, skin, woods and healthy beans still not collected. In addition to a reduction in commercial value, the presence of defects compromises the sensory attributes of coffee. On the other hand, selections are commonly found in coffee crops and can be added intentionally to the product. Twenty-five selections were used to obtain a panel of 154 blends. The FTIR-PAS spectra of each sample generated the prediction model of Partial Least Squares Regression parameters, which are also presented here. |
URI: | https://digitalcollection.zhaw.ch/handle/11475/12177 |
Fulltext version: | Published version |
License (according to publishing contract): | CC BY-NC-ND 4.0: Attribution - Non commercial - No derivatives 4.0 International |
Departement: | Life Sciences and Facility Management |
Organisational Unit: | Institute of Chemistry and Biotechnology (ICBT) |
Appears in collections: | Publikationen Life Sciences und Facility Management |
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2018_Dias_Data_on_roasted_coffee_with_specific_defects_analyzed.pdf | 680.81 kB | Adobe PDF | View/Open |
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Dias, R. C. E., Valderrama, P., Março, P. H., Dos Santos Scholz, M. B., Edelmann, M., & Yeretzian, C. (2018). Data on roasted coffee with specific defects analyzed by infrared-photoacoustic spectroscopy and chemometrics. Data in Brief, 2018(20), 242–249. https://doi.org/10.21256/zhaw-4854
Dias, R.C.E. et al. (2018) ‘Data on roasted coffee with specific defects analyzed by infrared-photoacoustic spectroscopy and chemometrics’, Data in Brief, 2018(20), pp. 242–249. Available at: https://doi.org/10.21256/zhaw-4854.
R. C. E. Dias, P. Valderrama, P. H. Março, M. B. Dos Santos Scholz, M. Edelmann, and C. Yeretzian, “Data on roasted coffee with specific defects analyzed by infrared-photoacoustic spectroscopy and chemometrics,” Data in Brief, vol. 2018, no. 20, pp. 242–249, 2018, doi: 10.21256/zhaw-4854.
DIAS, Rafael Carlos Eloy, Patrícia VALDERRAMA, Paulo Henrique MARÇO, Maria Brigida DOS SANTOS SCHOLZ, Michael EDELMANN und Chahan YERETZIAN, 2018. Data on roasted coffee with specific defects analyzed by infrared-photoacoustic spectroscopy and chemometrics. Data in Brief. 2018. Bd. 2018, Nr. 20, S. 242–249. DOI 10.21256/zhaw-4854
Dias, Rafael Carlos Eloy, Patrícia Valderrama, Paulo Henrique Março, Maria Brigida Dos Santos Scholz, Michael Edelmann, and Chahan Yeretzian. 2018. “Data on Roasted Coffee with Specific Defects Analyzed by Infrared-Photoacoustic Spectroscopy and Chemometrics.” Data in Brief 2018 (20): 242–49. https://doi.org/10.21256/zhaw-4854.
Dias, Rafael Carlos Eloy, et al. “Data on Roasted Coffee with Specific Defects Analyzed by Infrared-Photoacoustic Spectroscopy and Chemometrics.” Data in Brief, vol. 2018, no. 20, 2018, pp. 242–49, https://doi.org/10.21256/zhaw-4854.
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